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Vinay Mehendi
Vinay Mehendi, PhD focuses on customer engagement, alternative data, technographics, and CRM data management. he was listed as Top 20 B2B Marketer by Ruth Stevens in 2020. He is a Clemson graduate.
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A massive volume of both structured and unstructured data that is large and difficult to process using traditional databases and software techniques is called Big Data. It helps understand human behavior and uncertain business conditions through predictive analytics. This analytics market is set to reach $103 billion by 2023. Poor data quality costs the US economy up to $3.1 trillion yearly. Almost all organizations cite the need to manage unstructured data as a problem for their business. 97.2% of organizations are investing in big data and AI. Netflix saved $1 billion per year on customer retention using big data. It is estimated that the world will generate 181 zettabytes of data by 2025. The top big data companies to watch out for are Teradata, Oracle, SAP, Amazon, Microsoft, Google, and more.
Every business has understood the importance of data governance, building data pipelines, and deep learning. They also understand that data can be used to generate insights. If you want to select the right filter for better targeting of big data companies, read below:
1. Look for companies investing in NoSQL databases or graph databases as organizations invest in NoSQL databases when their data volume is high. Traditionally, enterprise companies and those in the BFSI domain have high data volumes.
2. You can look for companies investing in data pipelines. Like Azure data pipeline is the technographics that they can use.
3. You can also go after companies that are enterprise companies and are in the BFSI domain but are still using software such as IBM Db2, MySQL, or Oracle databases because they have a high data volume and are still using traditional data.
Here are the top 10 industries that benefit the most from the use of Big data analytics:
1. Banking and Securities: Helps in reducing fraudulent transactions.
2. Communications and Media: For real-time reportage of several platforms and events around the globe.
3. Sports: To monitor the performance of individual players and teams.
4. Healthcare: To gather public health reports and recognize the global spread of new viruses.
5. Education: To update and upgrade prescribed literature for rapid growth.
6. Manufacturing: To increase supply chain management.
7. Insurance: For developing new products and handling claims with the help of analytics.
8. Consumer Trade: To predict and manage staffing and inventory requirements.
9. Transportation: To better manage traffic plans and logistics.
10. Energy: Help users to measure their energy usage.
The location, technology intelligence, investment by location, CRM Integration, contact list of decision-makers, and touchpoints help build relationships with enterprise companies. You can eliminate the standard fields and combine data & intelligence to customize your lead generation & campaign messaging. You can also research their available product, analyze it thoroughly, check for discrepancies, remove outliers, and check their intent to engage and technology usage.
When we consider the example of MongoDB, a NoSQL database, it is used using the premium version where you can download the free version for a limited time along with limited features that you can use. On the other side, MongoDB also has a significant presence of the sales field and sales representatives in the USA, supported by the sales research team in India, who focus on targeting enterprise accounts. Therefore, enterprise accounts definitely need sales-led growth, while in small and medium companies, product-led growth is acceptable, where it does not require the presence of the sales to do it.
Value-added resellers often build their applications on Power BI and Tableau and sell them. There are many system integrators and delivery partners who are selling Tableau. IBM is a massive supporter of channel partners. IBM’s big data and analytics tools are sold using delivery partners and Independent Software Vendors (ISVs).
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Unlike tools that just provide you standard fields, we combine data & intelligence to customize your lead generation & campaign messaging. We can do it because we have:
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